How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes ...

Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to ...

Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...

A new study by Brown researchers provides evidence that the mechanisms of reasoning between humans and LLMs are similar.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Systematic reviews take a long time but are the gold standard in evaluating evidence and producing medical recommendations.

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

The research paper, on which he is the only student author, won the Best Paper Award, the highest honor given at the world’s ...